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Findings of acupuncture mechanisms using EEG and MEG EI Scopus
图书章节 | August 29, 2017 | Springer Singapore
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GB/T 7714 Qin, Wei , Bai, Lijun , Jin, Lingmin et al. Findings of acupuncture mechanisms using EEG and MEG [M] //[Qin, Wei, Bai, Lijun, Jin, Lingmin, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
MLA Qin, Wei et al. "Findings of acupuncture mechanisms using EEG and MEG" [Qin, Wei, Bai, Lijun, Jin, Lingmin, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
APA Qin, Wei , Bai, Lijun , Jin, Lingmin , Tian, Jie . Findings of acupuncture mechanisms using EEG and MEG [Qin, Wei, Bai, Lijun, Jin, Lingmin, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
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Intracellular Microfluid Transportation in Fast Growing Pollen Tubes EI Scopus
图书章节 | January 25, 2017 | Elsevier Inc.
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Fast tip growth of pollen tubes is a process of fundamental importance in sexual plant reproduction. In this chapter, physical models were developed to analyze the hydrodynamics and the advection-diffusion dynamics of fountain streaming in pollen tubes. It is demonstrated that the unique properties of fountain streaming contribute to the fast tip growth of pollen tubes by regulating the gradients of turgor pressure and cell wall materials. Simple experiments confirm that the tip shape and growth rate of pollen tubes are influenced by the changes in turgor pressure gradients as induced by drought stress. Both the analytical and the numerical methods presented in this chapter provide mechanistic insights for the understanding of the sexual reproduction and infertility of flowering plants under normal conditions and drought stress. © 2017 Elsevier Inc. All rights reserved.

Keyword :

Advection - Diffusion Cyclosis Driving forces Gradients Tip growth

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GB/T 7714 Liu, S. , Liu, H. , Lin, M. et al. Intracellular Microfluid Transportation in Fast Growing Pollen Tubes [M] //[Liu, S., Liu, H., Lin, M., Xu, F., Lu, T.J.] 编 Elsevier Inc. , . January 25, 2017 .
MLA Liu, S. et al. "Intracellular Microfluid Transportation in Fast Growing Pollen Tubes" [Liu, S., Liu, H., Lin, M., Xu, F., Lu, T.J.] 编 Elsevier Inc. , . January 25, 2017 .
APA Liu, S. , Liu, H. , Lin, M. , Xu, F. , Lu, T.J. . Intracellular Microfluid Transportation in Fast Growing Pollen Tubes [Liu, S., Liu, H., Lin, M., Xu, F., Lu, T.J.] 编 Elsevier Inc. , . January 25, 2017 .
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Temporospatial encoding of acupuncture effects in the brain EI Scopus
图书章节 | August 29, 2017 | Springer Singapore
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GB/T 7714 Bai, Lijun , Tian, Jie . Temporospatial encoding of acupuncture effects in the brain [M] //[Bai, Lijun, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
MLA Bai, Lijun et al. "Temporospatial encoding of acupuncture effects in the brain" [Bai, Lijun, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
APA Bai, Lijun , Tian, Jie . Temporospatial encoding of acupuncture effects in the brain [Bai, Lijun, Tian, Jie] 编 Springer Singapore , . August 29, 2017 .
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Big Data: A Classification of Acquisition and Generation Methods EI
图书章节 | February 8, 2017 | Elsevier Inc.
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Traditionally, data have been stored in securely protected databases for special purposes, such as satellite imagery data for earth science research or customer transaction data for business analytics. The usefulness of data lies in the fact that they can be examined and analyzed to unearth correlations among data items and to discover knowledge to gain deeper insightful trends. Data analytics has been the key research topic in data mining, knowledge discovery and machine learning for decades. In recent years, the term "data" has experienced a major rejuvenation in many aspects of our lives. The rapid development of the Internet and web technologies allows ordinary users to generate vast amounts of data about their daily lives. On the Internet of Things, the number of connected devices has grown exponentially; each of these produces real-time or near real-time streaming data about our physical world. The resulting data, which is extremely difficult, if not impossible, to be stored, processed, and analyzed with conventional computing methodologies and resources, is referred to as the "Big Data." In this chapter, we focus on a subset of big data: digital data and analog data. These two major subsets are further divided as the environmental and personal source of data. We have also highlighted the data types and formats as well as different input mechanisms. These classifications are helpful to understand the active and passive way of data collection and production with explicit and without (i.e., implicit) human involvement. This chapter intends to provide enough information to support the reader to understand the role of digital and analog sources, and how data is acquired, transmitted, and preprocessed using today's growing variety of computing devices and sensors. © 2017 All rights reserved.

Keyword :

Business analytics Computing devices Computing methodologies Connected Devices Data generation Data storage Satellite imagery data Sensing devices

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GB/T 7714 Nanjappan, Vijayakumar , Liang, Hai-Ning , Wang, Wei et al. Big Data: A Classification of Acquisition and Generation Methods [M] //[Nanjappan, Vijayakumar, Liang, Hai-Ning, Wang, Wei, Man, Ka L.] 编 Elsevier Inc. , . February 8, 2017 .
MLA Nanjappan, Vijayakumar et al. "Big Data: A Classification of Acquisition and Generation Methods" [Nanjappan, Vijayakumar, Liang, Hai-Ning, Wang, Wei, Man, Ka L.] 编 Elsevier Inc. , . February 8, 2017 .
APA Nanjappan, Vijayakumar , Liang, Hai-Ning , Wang, Wei , Man, Ka L. . Big Data: A Classification of Acquisition and Generation Methods [Nanjappan, Vijayakumar, Liang, Hai-Ning, Wang, Wei, Man, Ka L.] 编 Elsevier Inc. , . February 8, 2017 .
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Ab Initio-based stochastic simulations of kinetic processes on surfaces EI Scopus
图书章节 | June 16, 2016 | IGI Global
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We briefly present the theoretical framework of a hierarchical multi-scale approach, which is an ab initiobased stochastic method, and its applications to several chemical/physical kinetic processes on metallic surfaces. We first introduce necessary theoretical basis of ab initio and Monte Carlo (MC) methods, and then illustrate different Monte Carlo algorithms for important ensembles, including canonical and grand canonical ensembles. In the following section, we describe two important protocols which are essential to integrate ab initio data and MC models. Two examples are presented in order to elucidate the power of this multi-scale approach. The first example focuses on the combination of kinetic Monte Carlo and transition state theory. We discuss the detailed processes of performing kinetic Monte Carlo simulation on atomic diffusion on alloyed surface, including some technical aspects. In the second example, we presents a different way to account for the local environment-sensitive metal-catalyzed O2 dissociation reactions using combinatory techniques including cluster expansion and grand canonical Monte Carlo methods. This approach provides steady-state rates and rate derivatives that are comparable with experiments. Moreover, the connection between the feasible mechanisms and the observed kinetic behaviors can now be built. © 2016 by IGI Global. All rights reserved.

Keyword :

Dissociation reactions Grand canonical ensemble Grand canonical monte carlo methods Kinetic monte carlo simulation Monte carlo algorithms Multi-scale approaches Stochastic simulations Transition state theories

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GB/T 7714 Chen, Zhengzheng , Wu, Chao . Ab Initio-based stochastic simulations of kinetic processes on surfaces [M] //[Chen, Zhengzheng, Wu, Chao] 编 IGI Global , . June 16, 2016 .
MLA Chen, Zhengzheng et al. "Ab Initio-based stochastic simulations of kinetic processes on surfaces" [Chen, Zhengzheng, Wu, Chao] 编 IGI Global , . June 16, 2016 .
APA Chen, Zhengzheng , Wu, Chao . Ab Initio-based stochastic simulations of kinetic processes on surfaces [Chen, Zhengzheng, Wu, Chao] 编 IGI Global , . June 16, 2016 .
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Experimentation in Aerodynamics and Heat Transfer EI Scopus
图书章节 | July 15, 2016 | Elsevier
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For any experimental study, a fundamental question is perhaps "what to measure." Answering this question is associated with governing equations that need to be closed. The governing equations in aerodynamics and heat transfer are the "continuity equation," "momentum equations," and "energy equation." Fundamental differences in closing these equations experimentally and analytically are discussed. © 2016 Elsevier Inc. All rights reserved.

Keyword :

Continuity equations Energy equation Governing equations Instrumentation Measurement techniques Momentum equation

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GB/T 7714 Kim, T. , Lu, T.J. , Song, S.J. . Experimentation in Aerodynamics and Heat Transfer [M] //[Kim, T., Lu, T.J., Song, S.J.] 编 Elsevier , . July 15, 2016 .
MLA Kim, T. et al. "Experimentation in Aerodynamics and Heat Transfer" [Kim, T., Lu, T.J., Song, S.J.] 编 Elsevier , . July 15, 2016 .
APA Kim, T. , Lu, T.J. , Song, S.J. . Experimentation in Aerodynamics and Heat Transfer [Kim, T., Lu, T.J., Song, S.J.] 编 Elsevier , . July 15, 2016 .
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Interdisciplinary nanomedicine publications through interdisciplinary peer-review EI
图书章节 | May 2, 2016 | Pan Stanford Publishing Pte. Ltd.
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Area under the curves Bioavailability Commercialization Complimentary disciplines European medicines agencies Extrinsic properties Interdisciplinary Intrinsic property Life scientists Materials chemistry Nanocarriers Nanoprecipitates Patent offices Patent prosecution Peer review Physical scientist Physiologically based pharmacokinetic models Polymer conjugate Synthetic chemistry US Food and Drug Administration

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GB/T 7714 Owen, Andrew , Rannard, Steve P. , Bawa, Raj et al. Interdisciplinary nanomedicine publications through interdisciplinary peer-review [M] //[Owen, Andrew, Rannard, Steve P., Bawa, Raj, Feng, Si-Shen] 编 Pan Stanford Publishing Pte. Ltd. , . May 2, 2016 .
MLA Owen, Andrew et al. "Interdisciplinary nanomedicine publications through interdisciplinary peer-review" [Owen, Andrew, Rannard, Steve P., Bawa, Raj, Feng, Si-Shen] 编 Pan Stanford Publishing Pte. Ltd. , . May 2, 2016 .
APA Owen, Andrew , Rannard, Steve P. , Bawa, Raj , Feng, Si-Shen . Interdisciplinary nanomedicine publications through interdisciplinary peer-review [Owen, Andrew, Rannard, Steve P., Bawa, Raj, Feng, Si-Shen] 编 Pan Stanford Publishing Pte. Ltd. , . May 2, 2016 .
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One-dimensional silicon nanowire composites for photocatalysis EI Scopus
图书章节 | November 1, 2016 | World Scientific Publishing Co. Pte. Ltd.
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Silicon nanowires

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GB/T 7714 Ma, Yuanyuan , Li, Jiayuan , Qu, Yongquan . One-dimensional silicon nanowire composites for photocatalysis [M] //[Ma, Yuanyuan, Li, Jiayuan, Qu, Yongquan] 编 World Scientific Publishing Co. Pte. Ltd. , . November 1, 2016 .
MLA Ma, Yuanyuan et al. "One-dimensional silicon nanowire composites for photocatalysis" [Ma, Yuanyuan, Li, Jiayuan, Qu, Yongquan] 编 World Scientific Publishing Co. Pte. Ltd. , . November 1, 2016 .
APA Ma, Yuanyuan , Li, Jiayuan , Qu, Yongquan . One-dimensional silicon nanowire composites for photocatalysis [Ma, Yuanyuan, Li, Jiayuan, Qu, Yongquan] 编 World Scientific Publishing Co. Pte. Ltd. , . November 1, 2016 .
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Statistical discriminability estimation for pattern classification based on neural incremental attribute learning EI
图书章节 | December 12, 2016 | IGI Global
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Feature ordering is a significant data preprocessing method in Incremental Attribute Learning (IAL), a novel machine learning approach which gradually trains features according to a given order. Previous research has shown that, similar to feature selection, feature ordering is also important based on each feature's discrimination ability, and should be sorted in a descending order of their discrimination ability. However, such an ordering is crucial for the performance of IAL. As the number of feature dimensions in IAL is increasing, feature discrimination ability also should be calculated in the corresponding incremental way. Based on Single Discriminability (SD), where only the feature discrimination ability is computed, a new filter statistical feature discrimination ability predictive metric, called the Accumulative Discriminability (AD), is designed for the dynamical feature discrimination ability estimation. Moreover, a criterion that summarizes all the produced values of AD is employed with a GA (Genetic Algorithm)- based approach to obtain the optimum feature ordering for classification problems based on neural networks by means of IAL. Compared with the feature ordering obtained by other approaches, the method proposed in this paper exhibits better performance in the final classification results. Such a phenomenon indicates that, (i) the feature discrimination ability should be incrementally estimated in IAL, and (ii) the feature ordering derived by AD and its corresponding approaches are applicable with IAL. © 2017 by IGI Global. All rights reserved.

Keyword :

Classification results Data preprocessing Discrimination ability Feature discrimination GA (genetic algorithm) Incremental attribute learning Machine learning approaches Statistical features

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GB/T 7714 Wang, Ting , Puthusserypady, Sadasivan , Guan, Sheng-Uei et al. Statistical discriminability estimation for pattern classification based on neural incremental attribute learning [M] //[Wang, Ting, Puthusserypady, Sadasivan, Guan, Sheng-Uei, Wong, Prudence W.H.] 编 IGI Global , . December 12, 2016 .
MLA Wang, Ting et al. "Statistical discriminability estimation for pattern classification based on neural incremental attribute learning" [Wang, Ting, Puthusserypady, Sadasivan, Guan, Sheng-Uei, Wong, Prudence W.H.] 编 IGI Global , . December 12, 2016 .
APA Wang, Ting , Puthusserypady, Sadasivan , Guan, Sheng-Uei , Wong, Prudence W.H. . Statistical discriminability estimation for pattern classification based on neural incremental attribute learning [Wang, Ting, Puthusserypady, Sadasivan, Guan, Sheng-Uei, Wong, Prudence W.H.] 编 IGI Global , . December 12, 2016 .
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Analytics on fireworks algorithm solving problems with shifts in the decision space and objective space EI
图书章节 | July 26, 2016 | IGI Global
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Fireworks algorithms for solving problems with the optima shift in decision space and/or objective space are analyzed in this paper. The standard benchmark problems have several weaknesses in the research of swarm intelligence algorithms for solving single objective problems. The optimum is in the center of search range, and is the same at each dimension of the search space. The optimum shift in decision space and/or objective space could increase the difficulty of problem solving. A mapping strategy, modular arithmetic mapping, is utilized in the original fireworks algorithm to handle solutions out of search range. The solutions are implicitly guided to the center of search range for problems with symmetrical search range via this strategy. The optimization performance of fireworks algorithm on shift functions may be affected by this strategy. Four kinds of mapping strategies, which include mapping by modular arithmetic, mapping to the boundary, mapping to stochastic region, and mapping to limited stochastic region, are compared on problems with different dimensions and different optimum shift range. From experimental results, the fireworks algorithms with mapping to the boundary, or mapping to limited stochastic region obtain good performance on problems with the optimum shift. This is probably because the search tendency is kept in these two strategies. The definition of population diversity measurement is also proposed in this paper, from observation on population diversity changes, the useful information of fireworks algorithm solving different kinds of problems could be obtained. © 2017 by IGI Global. All rights reserved.

Keyword :

Bench-mark problems Fireworks algorithms Mapping strategy Modular arithmetic Objective space Population diversity Single objective Swarm intelligence algorithms

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GB/T 7714 Cheng, Shi , Chen, Junfeng , Qin, Quande et al. Analytics on fireworks algorithm solving problems with shifts in the decision space and objective space [M] //[Cheng, Shi, Chen, Junfeng, Qin, Quande, Shi, Yuhui, Zhang, Qingyu] 编 IGI Global , . July 26, 2016 .
MLA Cheng, Shi et al. "Analytics on fireworks algorithm solving problems with shifts in the decision space and objective space" [Cheng, Shi, Chen, Junfeng, Qin, Quande, Shi, Yuhui, Zhang, Qingyu] 编 IGI Global , . July 26, 2016 .
APA Cheng, Shi , Chen, Junfeng , Qin, Quande , Shi, Yuhui , Zhang, Qingyu . Analytics on fireworks algorithm solving problems with shifts in the decision space and objective space [Cheng, Shi, Chen, Junfeng, Qin, Quande, Shi, Yuhui, Zhang, Qingyu] 编 IGI Global , . July 26, 2016 .
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